Kamal Harb - Academia.edu (original) (raw)

Papers by Kamal Harb

Research paper thumbnail of An updated review on solar air heating systems

Sustainable Energy Technologies and Assessments

Research paper thumbnail of Optimal Sizing Grid-Connected Hybrid PV/Generator/Battery Systems Following the Prediction of CO2 Emission and Electricity Consumption by Machine Learning Methods (MLP and SVR): Aseer, Tabuk, and Eastern Region, Saudi Arabia

Frontiers in Energy Research

Researchers’ concentration has been on hybrid systems that can fulfill economic and environmental... more Researchers’ concentration has been on hybrid systems that can fulfill economic and environmental goals in recent years. In this study, first, the prediction of CO2 emission and electricity consumption of Saudi Arabia by 2040 is made by employing multi-layer perceptron (MLP) and support vector regression (SVR) methods to see the rate of CO2 emission and electricity consumption. In this regard, the most important parameters such as gross domestic product (GDP), population, oil consumption, natural gas consumption, and renewable consumption are considered. Estimating CO2 emission by MLP and electricity consumption by SVR showed 815 Mt/year and 475 TWh/year, respectively, where R2 for MLP and SVR was 0.99. Prediction results showed a 31% and 39% increase in CO2 emission and electricity consumption by 2040 compared to 2020. Second, the optimum combination of components for supplying demand load and desalination load in residential usages are found where 0% capacity shortage, 20–60$/t pe...

Research paper thumbnail of Evaluation of wind power generation projects to reduce air pollution using multi-criteria decision-making methods in Saudi Arabia

Environmental Science and Pollution Research

Research paper thumbnail of Industrial Wireless Sensor Networks (ISWN): Requirements and Solutions

Industrial Wireless Sensor Networks (IWSN) are preferred over bulky wired networks in industrial ... more Industrial Wireless Sensor Networks (IWSN) are preferred over bulky wired networks in industrial monitoring and automation. These sensors are used to access locations, which are technically unreachable. The use of IWSN not only reduced the cost of automation systems but also played a significant role in alarm management by real time data transfer. ZigBee and WirelessHART are already deployed protocols for IWSN. ISA100.11a developed by International Society of Automation was specially designed for IWSN. The main features of this standard are low power consumption, real time fast data transfer, scalability, security, reliability, coexistence with other network architectures and robustness in harsh industrial environments. To achieve these features, these protocols use layer structure, which provides security, fast and reliable data transfer. IEEE 802.15.4 is used at its physical layer with variable data slots. This paper presents the results of the simulation of ISA100 done on Pymote ...

Research paper thumbnail of Optical Transmission by Means of Laser Signals

The invention relates to a method and system for free-field optical transmission by means of lase... more The invention relates to a method and system for free-field optical transmission by means of laser signals, including setting a rate for encoding information that is useful for trans mission on the basis of variations in a signal receiving char acteristic belonging to a single communication session. The encoding rate is preferably dynamically adjusted during the communication session. An optimized compromise is thereby created between a useful rate that is high and a post decoding bit error rate that is low. The method and the related system enable atmospheric conditions that can disrupt laser signal transmission to be taken into account in real time when said laser signals pass through part of the earth's atmosphere.

Research paper thumbnail of A Decision Support Scheme to Maintain QoS in Weather Impacted Satellite Networks

AIAA Atmospheric and Space Environments Conference, 2010

The anti-jam advantages of higher carrier frequencies for different applications and the necessit... more The anti-jam advantages of higher carrier frequencies for different applications and the necessity for wider information bandwidths have led system designers to look for operational frequencies above Ku band in order to support their next generation of communications satellite systems. The undesirable of characteristics of this band is that weather impact on signal attenuation and distortion on signal fidelity is a serious concern at frequencies above 10 GHz. This paper proposes a technique to achieve optimum signal quality when the impacts of weather attenuations have become significant. Our adaptive scheme is able to estimate these attenuations using predicted weather correlated database supplied by International Telecommunication Union-Radiocommunications (ITU-R) propagation models. The scheme is applied to gateway and ground terminal so that they collaborate to optimally control the channel characteristics. This paper describes a three dimensional relationships between rain attenuation (RA), frequency and rainfall rate (RR), and similarly between signal to noise ratio (SNR), weather attenuations and transmitted power. The relationships are exploited to develop an enhanced back propagation-learning algorithm that are used to iteratively tune the controller based on weather conditions and by means of SNR feedback values and other satellite parameters. The algorithm applied to a simulated model for activating the weighted Modulation/Codepoint control showed markedly improvements in ensuring optimal configuration settings and improved tolerance/safety margins for any given service level agreement (SLA) commitment.

Research paper thumbnail of Performance Improvement in Satellite Networks Based on Markovian Weather Prediction

2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2010

Abstract—Prediction of channel characteristics can be of immense value in improving the quality o... more Abstract—Prediction of channel characteristics can be of immense value in improving the quality of signals in high frequency satellite systems. Making prediction of rainfall rate (RR) using Markov theory and using that prediction in an intelligent system (IS) to maintain the quality of ...

Research paper thumbnail of Dust & sand (DUSA) storms impact on LEO satellite microwave radio links

Advanced Satellite Multimedia Systems Conference / Signal Processing for Space Communications Workshop, 2014

Sand, dust, gaseous and other atmospheric properties have a distorting effect on signal fidelityo... more Sand, dust, gaseous and other atmospheric properties have a distorting effect on signal fidelityof Ku and Ka bands. Such distributions result in signal transmission error co mmensuration with different weather attenuations. These attenuations severely affect quality of service (QoS) as well as service level agreement (SLA). The main focus of this paper is to propose a new model for at mospheric impairments affecting satellite co mmunicat ion networks that operate at high frequencies. These operations are heavily dependent on the propagation characteristics in desert areas, due to the often occurring of dust and sand storms as well as gaseous attenuations. Furthermore, gaseous attenuation (GA) can be estimated by using predicted signal-weather correlated database in collaboration with ITU-R propagation models comb inedwith interpolation methods, gateway, and ground terminal characteristics. A three dimensional relationship is then proposed for these attenuations with visibility, dust particular size, frequency, and propagation angle to provide decision and control system (DA CS) with an enhanced view of satellite performance. This system is controlled by a skilful at mospheric aware model (SAAM) that can enable mitigation planning by adaptively selecting satellite parameters to improve network performance and monitor receiv ing signal to maintain the predefined threshold level under different weather conditions. Simu lation results are presented to show the effectiveness of the proposed scheme.

Research paper thumbnail of The Design of Sparse and Non-sparse FIR Filters Using Linear Complementarity Problem Approach

Research paper thumbnail of Performance Evolution in Satellite Communication Networks Along with Markovian Channel Prediction

Augmenting accurate predict ion of channel attenuations can be of immense value in improving the ... more Augmenting accurate predict ion of channel attenuations can be of immense value in improving the quality of signals athigh frequency for satellite co mmunication networks. Such prediction of weather related attenuation factors for the impendingweather conditions based on the weather data and the Markovian theory are the main object of this paper. The paper also describes anintelligent weather aware control system (IWACS) that is used to emp loy the predict ions made fro m Markov model to maintainthe quality of service (QoS) in channels that are impacted by rain, gaseous, cloud, fog, and scintillat ion attenuations. Based onthat, a three dimensional relationship is proposed among estimated at mospheric attenuations, propagation angle, and predictedrainfall rate (RR pr ) at a given location and operational frequency. This novel method of pred icting weather characteristicssupplies valuable data for mit igation planning, and subsequently for developing an algorithm to iteratively tune ...

Research paper thumbnail of Systems Adaptation for Satellite Signal under Dust, Sand and Gaseous Attenuations

Sand, dust, gaseous and other atmospheric properties have a distorting effect on signal fidelityo... more Sand, dust, gaseous and other atmospheric properties have a distorting effect on signal fidelityof Ku and Ka bands. Such distributions result in signal transmission error co mmensuration with different weather attenuations. These attenuations severely affect quality of service (QoS) as well as service level agreement (SLA). The main focus of this paper is to propose a new model for at mospheric impairments affecting satellite co mmunicat ion networks that operate at high frequencies. These operations are heavily dependent on the propagation characteristics in desert areas, due to the often occurring of dust and sand storms as well as gaseous attenuations. Furthermore, gaseous attenuation (GA) can be estimated by using predicted signal-weather correlated database in collaboration with ITU-R propagation models comb inedwith interpolation methods, gateway, and ground terminal characteristics. A three dimensional relationship is then proposed for these attenuations with visibility, dust...

Research paper thumbnail of Quality of service improvements in weather impacted satellite communication networks

The author has granted a nonexclusive license allowing Library and Archives Canada to reproduce, ... more The author has granted a nonexclusive license allowing Library and Archives Canada to reproduce, publish, archive, preserve, conserve, communicate to the public by telecommunication or on the Internet, loan, distribute and sell theses worldwide, for commercial or noncommercial purposes, in microform, paper, electronic and/or any other formats. L'auteur a accorde une licence non exclusive permettant a la Bibliotheque et Archives Canada de reproduire, publier, archiver, sauvegarder, conserver, transmettre au public par telecommunication ou par I'lnternet, preter, distribuer et vendre des theses partout dans le monde, a des fins commerciales ou autres, sur support microforme, papier, electronique et/ou autres formats. Bien que ces formulaires aient inclus dans la pagination, il n'y aura aucun contenu manquant.

Research paper thumbnail of Accurate macromodeling of high-speed interconnects characterized by time-domain measurements

Research paper thumbnail of A Proposed Method for Dust and Sand Storms Effect on Satellite Communication Networks

Due to frequent climate changes in our daily atmosphere, the movement of dust and sand storms has... more Due to frequent climate changes in our daily atmosphere, the movement of dust and sand storms has become very severe and unpredictable. The climatic variations affect the propagation of high frequency satellite signals. In order to estimate wireless channel signal impairments, a system has been modeled based on estimated visibility and volume of dust particulars. A new approach for determining visibility based on duststorm model has been presented. Also, this paper presents a new method to fragment the dust storm into different sections based on variations in visibility at different heights. A threedimensional relationship is presented for dust and sand attenuation (DUSA) and signal to noise ratio (SNR) to show the variations of dust attenuation with both visibility and dust particle volume at different locations. The relationships can be exploited to develop an enhanced back propagation-learning algorithm that can be used to iteratively tune the controller based on weather conditio...

Research paper thumbnail of Performance of HAPs Communication Systems in DUSA Storm: Analysis and�Modeling

High Altitude Platform Station (HAPS) systems are currently under improvement and development. Te... more High Altitude Platform Station (HAPS) systems are currently under improvement and development. Technology is advancing towards the reliability and creative performance under reasonable fee for service providers and customers. HAPS technology represents one of the most revolutionary way of communication that appears to be convincing and effective under different weather conditions for any location in the world. For desert areas, such as Saudi Arabia, the main impact factor of HAPS is Dust and Sand (DUSA) storms. This attenuation varies with the operational satellite parameters such as frequency, location and other factors. This paper proposes some modifications to an existing DUSA storms model presented by a 3-D mesh model having different visibilities. This model for visibility depends on horizontal and vertical layers with reference to variations in altitude and space along with probabilistic dust particle size distributions in each layer. Such strategies help in conducting reasonable impairment estimates and in providing an optimal design for the HAPS system. As a result, an appropriate enhanced attenuation mitigation model is suggested.

Research paper thumbnail of An Intelligent QoS Control System for Satellite Networks Based on Markovian Weather Prediction

… Technology Conference Fall …

Abstract—Prediction of channel characteristics can be of im-mense value in improving the quality ... more Abstract—Prediction of channel characteristics can be of im-mense value in improving the quality of signals in high frequency satellite communication channels. Making prediction of rainfall rate (RR) using Markovian theory is the object of this paper. The paper also describes an ...

Research paper thumbnail of An Intelligent QoS Control System for Satellite Networks Based on Markovian Weather Prediction

… Technology Conference Fall …

Abstract—Prediction of channel characteristics can be of im-mense value in improving the quality ... more Abstract—Prediction of channel characteristics can be of im-mense value in improving the quality of signals in high frequency satellite communication channels. Making prediction of rainfall rate (RR) using Markovian theory is the object of this paper. The paper also describes an ...

Research paper thumbnail of Systems Adaptation for Satellite Signal under Dust, Sand and Gaseous Attenuations

Journal of Wireless Networking and Communications, 2013

Sand, dust, gaseous and other atmospheric properties have a distorting effect on signal fidelityo... more Sand, dust, gaseous and other atmospheric properties have a distorting effect on signal fidelityof Ku and Ka bands. Such distributions result in signal transmission error co mmensuration with different weather attenuations. These attenuations severely affect quality of service (QoS) as well as service level agreement (SLA). The main focus of this paper is to propose a new model for at mospheric impairments affecting satellite co mmunicat ion networks that operate at high frequencies. These operations are heavily dependent on the propagation characteristics in desert areas, due to the often occurring of dust and sand storms as well as gaseous attenuations. Furthermore, gaseous attenuation (GA) can be estimated by using predicted signal-weather correlated database in collaboration with ITU-R propagation models comb inedwith interpolation methods, gateway, and ground terminal characteristics. A three dimensional relationship is then proposed for these attenuations with visibility, dust particular size, frequency, and propagation angle to provide decision and control system (DA CS) with an enhanced view of satellite performance. This system is controlled by a skilful at mospheric aware model (SAAM) that can enable mitigation planning by adaptively selecting satellite parameters to improve network performance and monitor receiv ing signal to maintain the predefined threshold level under different weather conditions. Simu lation results are presented to show the effectiveness of the proposed scheme.

Research paper thumbnail of Dust & sand (DUSA) storms impact on LEO satellite microwave radio links

2014 7th Advanced Satellite Multimedia Systems Conference and the 13th Signal Processing For Space Communications Workshop, Sep 10, 2014

Satellite telecommunications today present one of the most remarkable opportunities as they enabl... more Satellite telecommunications today present one of the most remarkable opportunities as they enable us to communicate and virtually reach any corner of the world. Great discoveries and developments in this field have enabled us to improve our quality of life. But even as we benefit from this progress, many challenges are encountered as satellite service providers uphold certain quality of service (QoS) levels. Meteorological impairments will always confront the satellite telecommunication links. Arid and semi-arid regions are particularly prone to dust and sand (DUSA) storms posing a looming threat to microwave radio systems reliability. A novel approach to model the dust storms in a three dimensional space has been presented and elaborated here leading to a more efficient attenuation computation and ultimately resulting in perfection of link budget design. A real downlink improvement for a LEO satellite will be re-designed by considering the dust attenuation parameter. An interesting finding is then confirmed that after including the dust attenuation parameter the link margin is found to be in healthy acceptable range and cost effective too. In order to have an efficient communication system and better quality of service (QoS), designers need to consider all the parameters that can impact communication link.

Research paper thumbnail of K. Harb, B. Omair, S. Abdul-Jauwad, A. Al-Yami, and Ab. Al-Yami, "A Proposed Method for Dust and Sand Storms Effect on Satellite Communication Networks", Innovations on Communication Theory (INCT), Istanbul, Turkey, Oct. 2012

Research paper thumbnail of An updated review on solar air heating systems

Sustainable Energy Technologies and Assessments

Research paper thumbnail of Optimal Sizing Grid-Connected Hybrid PV/Generator/Battery Systems Following the Prediction of CO2 Emission and Electricity Consumption by Machine Learning Methods (MLP and SVR): Aseer, Tabuk, and Eastern Region, Saudi Arabia

Frontiers in Energy Research

Researchers’ concentration has been on hybrid systems that can fulfill economic and environmental... more Researchers’ concentration has been on hybrid systems that can fulfill economic and environmental goals in recent years. In this study, first, the prediction of CO2 emission and electricity consumption of Saudi Arabia by 2040 is made by employing multi-layer perceptron (MLP) and support vector regression (SVR) methods to see the rate of CO2 emission and electricity consumption. In this regard, the most important parameters such as gross domestic product (GDP), population, oil consumption, natural gas consumption, and renewable consumption are considered. Estimating CO2 emission by MLP and electricity consumption by SVR showed 815 Mt/year and 475 TWh/year, respectively, where R2 for MLP and SVR was 0.99. Prediction results showed a 31% and 39% increase in CO2 emission and electricity consumption by 2040 compared to 2020. Second, the optimum combination of components for supplying demand load and desalination load in residential usages are found where 0% capacity shortage, 20–60$/t pe...

Research paper thumbnail of Evaluation of wind power generation projects to reduce air pollution using multi-criteria decision-making methods in Saudi Arabia

Environmental Science and Pollution Research

Research paper thumbnail of Industrial Wireless Sensor Networks (ISWN): Requirements and Solutions

Industrial Wireless Sensor Networks (IWSN) are preferred over bulky wired networks in industrial ... more Industrial Wireless Sensor Networks (IWSN) are preferred over bulky wired networks in industrial monitoring and automation. These sensors are used to access locations, which are technically unreachable. The use of IWSN not only reduced the cost of automation systems but also played a significant role in alarm management by real time data transfer. ZigBee and WirelessHART are already deployed protocols for IWSN. ISA100.11a developed by International Society of Automation was specially designed for IWSN. The main features of this standard are low power consumption, real time fast data transfer, scalability, security, reliability, coexistence with other network architectures and robustness in harsh industrial environments. To achieve these features, these protocols use layer structure, which provides security, fast and reliable data transfer. IEEE 802.15.4 is used at its physical layer with variable data slots. This paper presents the results of the simulation of ISA100 done on Pymote ...

Research paper thumbnail of Optical Transmission by Means of Laser Signals

The invention relates to a method and system for free-field optical transmission by means of lase... more The invention relates to a method and system for free-field optical transmission by means of laser signals, including setting a rate for encoding information that is useful for trans mission on the basis of variations in a signal receiving char acteristic belonging to a single communication session. The encoding rate is preferably dynamically adjusted during the communication session. An optimized compromise is thereby created between a useful rate that is high and a post decoding bit error rate that is low. The method and the related system enable atmospheric conditions that can disrupt laser signal transmission to be taken into account in real time when said laser signals pass through part of the earth's atmosphere.

Research paper thumbnail of A Decision Support Scheme to Maintain QoS in Weather Impacted Satellite Networks

AIAA Atmospheric and Space Environments Conference, 2010

The anti-jam advantages of higher carrier frequencies for different applications and the necessit... more The anti-jam advantages of higher carrier frequencies for different applications and the necessity for wider information bandwidths have led system designers to look for operational frequencies above Ku band in order to support their next generation of communications satellite systems. The undesirable of characteristics of this band is that weather impact on signal attenuation and distortion on signal fidelity is a serious concern at frequencies above 10 GHz. This paper proposes a technique to achieve optimum signal quality when the impacts of weather attenuations have become significant. Our adaptive scheme is able to estimate these attenuations using predicted weather correlated database supplied by International Telecommunication Union-Radiocommunications (ITU-R) propagation models. The scheme is applied to gateway and ground terminal so that they collaborate to optimally control the channel characteristics. This paper describes a three dimensional relationships between rain attenuation (RA), frequency and rainfall rate (RR), and similarly between signal to noise ratio (SNR), weather attenuations and transmitted power. The relationships are exploited to develop an enhanced back propagation-learning algorithm that are used to iteratively tune the controller based on weather conditions and by means of SNR feedback values and other satellite parameters. The algorithm applied to a simulated model for activating the weighted Modulation/Codepoint control showed markedly improvements in ensuring optimal configuration settings and improved tolerance/safety margins for any given service level agreement (SLA) commitment.

Research paper thumbnail of Performance Improvement in Satellite Networks Based on Markovian Weather Prediction

2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2010

Abstract—Prediction of channel characteristics can be of immense value in improving the quality o... more Abstract—Prediction of channel characteristics can be of immense value in improving the quality of signals in high frequency satellite systems. Making prediction of rainfall rate (RR) using Markov theory and using that prediction in an intelligent system (IS) to maintain the quality of ...

Research paper thumbnail of Dust & sand (DUSA) storms impact on LEO satellite microwave radio links

Advanced Satellite Multimedia Systems Conference / Signal Processing for Space Communications Workshop, 2014

Sand, dust, gaseous and other atmospheric properties have a distorting effect on signal fidelityo... more Sand, dust, gaseous and other atmospheric properties have a distorting effect on signal fidelityof Ku and Ka bands. Such distributions result in signal transmission error co mmensuration with different weather attenuations. These attenuations severely affect quality of service (QoS) as well as service level agreement (SLA). The main focus of this paper is to propose a new model for at mospheric impairments affecting satellite co mmunicat ion networks that operate at high frequencies. These operations are heavily dependent on the propagation characteristics in desert areas, due to the often occurring of dust and sand storms as well as gaseous attenuations. Furthermore, gaseous attenuation (GA) can be estimated by using predicted signal-weather correlated database in collaboration with ITU-R propagation models comb inedwith interpolation methods, gateway, and ground terminal characteristics. A three dimensional relationship is then proposed for these attenuations with visibility, dust particular size, frequency, and propagation angle to provide decision and control system (DA CS) with an enhanced view of satellite performance. This system is controlled by a skilful at mospheric aware model (SAAM) that can enable mitigation planning by adaptively selecting satellite parameters to improve network performance and monitor receiv ing signal to maintain the predefined threshold level under different weather conditions. Simu lation results are presented to show the effectiveness of the proposed scheme.

Research paper thumbnail of The Design of Sparse and Non-sparse FIR Filters Using Linear Complementarity Problem Approach

Research paper thumbnail of Performance Evolution in Satellite Communication Networks Along with Markovian Channel Prediction

Augmenting accurate predict ion of channel attenuations can be of immense value in improving the ... more Augmenting accurate predict ion of channel attenuations can be of immense value in improving the quality of signals athigh frequency for satellite co mmunication networks. Such prediction of weather related attenuation factors for the impendingweather conditions based on the weather data and the Markovian theory are the main object of this paper. The paper also describes anintelligent weather aware control system (IWACS) that is used to emp loy the predict ions made fro m Markov model to maintainthe quality of service (QoS) in channels that are impacted by rain, gaseous, cloud, fog, and scintillat ion attenuations. Based onthat, a three dimensional relationship is proposed among estimated at mospheric attenuations, propagation angle, and predictedrainfall rate (RR pr ) at a given location and operational frequency. This novel method of pred icting weather characteristicssupplies valuable data for mit igation planning, and subsequently for developing an algorithm to iteratively tune ...

Research paper thumbnail of Systems Adaptation for Satellite Signal under Dust, Sand and Gaseous Attenuations

Sand, dust, gaseous and other atmospheric properties have a distorting effect on signal fidelityo... more Sand, dust, gaseous and other atmospheric properties have a distorting effect on signal fidelityof Ku and Ka bands. Such distributions result in signal transmission error co mmensuration with different weather attenuations. These attenuations severely affect quality of service (QoS) as well as service level agreement (SLA). The main focus of this paper is to propose a new model for at mospheric impairments affecting satellite co mmunicat ion networks that operate at high frequencies. These operations are heavily dependent on the propagation characteristics in desert areas, due to the often occurring of dust and sand storms as well as gaseous attenuations. Furthermore, gaseous attenuation (GA) can be estimated by using predicted signal-weather correlated database in collaboration with ITU-R propagation models comb inedwith interpolation methods, gateway, and ground terminal characteristics. A three dimensional relationship is then proposed for these attenuations with visibility, dust...

Research paper thumbnail of Quality of service improvements in weather impacted satellite communication networks

The author has granted a nonexclusive license allowing Library and Archives Canada to reproduce, ... more The author has granted a nonexclusive license allowing Library and Archives Canada to reproduce, publish, archive, preserve, conserve, communicate to the public by telecommunication or on the Internet, loan, distribute and sell theses worldwide, for commercial or noncommercial purposes, in microform, paper, electronic and/or any other formats. L'auteur a accorde une licence non exclusive permettant a la Bibliotheque et Archives Canada de reproduire, publier, archiver, sauvegarder, conserver, transmettre au public par telecommunication ou par I'lnternet, preter, distribuer et vendre des theses partout dans le monde, a des fins commerciales ou autres, sur support microforme, papier, electronique et/ou autres formats. Bien que ces formulaires aient inclus dans la pagination, il n'y aura aucun contenu manquant.

Research paper thumbnail of Accurate macromodeling of high-speed interconnects characterized by time-domain measurements

Research paper thumbnail of A Proposed Method for Dust and Sand Storms Effect on Satellite Communication Networks

Due to frequent climate changes in our daily atmosphere, the movement of dust and sand storms has... more Due to frequent climate changes in our daily atmosphere, the movement of dust and sand storms has become very severe and unpredictable. The climatic variations affect the propagation of high frequency satellite signals. In order to estimate wireless channel signal impairments, a system has been modeled based on estimated visibility and volume of dust particulars. A new approach for determining visibility based on duststorm model has been presented. Also, this paper presents a new method to fragment the dust storm into different sections based on variations in visibility at different heights. A threedimensional relationship is presented for dust and sand attenuation (DUSA) and signal to noise ratio (SNR) to show the variations of dust attenuation with both visibility and dust particle volume at different locations. The relationships can be exploited to develop an enhanced back propagation-learning algorithm that can be used to iteratively tune the controller based on weather conditio...

Research paper thumbnail of Performance of HAPs Communication Systems in DUSA Storm: Analysis and�Modeling

High Altitude Platform Station (HAPS) systems are currently under improvement and development. Te... more High Altitude Platform Station (HAPS) systems are currently under improvement and development. Technology is advancing towards the reliability and creative performance under reasonable fee for service providers and customers. HAPS technology represents one of the most revolutionary way of communication that appears to be convincing and effective under different weather conditions for any location in the world. For desert areas, such as Saudi Arabia, the main impact factor of HAPS is Dust and Sand (DUSA) storms. This attenuation varies with the operational satellite parameters such as frequency, location and other factors. This paper proposes some modifications to an existing DUSA storms model presented by a 3-D mesh model having different visibilities. This model for visibility depends on horizontal and vertical layers with reference to variations in altitude and space along with probabilistic dust particle size distributions in each layer. Such strategies help in conducting reasonable impairment estimates and in providing an optimal design for the HAPS system. As a result, an appropriate enhanced attenuation mitigation model is suggested.

Research paper thumbnail of An Intelligent QoS Control System for Satellite Networks Based on Markovian Weather Prediction

… Technology Conference Fall …

Abstract—Prediction of channel characteristics can be of im-mense value in improving the quality ... more Abstract—Prediction of channel characteristics can be of im-mense value in improving the quality of signals in high frequency satellite communication channels. Making prediction of rainfall rate (RR) using Markovian theory is the object of this paper. The paper also describes an ...

Research paper thumbnail of An Intelligent QoS Control System for Satellite Networks Based on Markovian Weather Prediction

… Technology Conference Fall …

Abstract—Prediction of channel characteristics can be of im-mense value in improving the quality ... more Abstract—Prediction of channel characteristics can be of im-mense value in improving the quality of signals in high frequency satellite communication channels. Making prediction of rainfall rate (RR) using Markovian theory is the object of this paper. The paper also describes an ...

Research paper thumbnail of Systems Adaptation for Satellite Signal under Dust, Sand and Gaseous Attenuations

Journal of Wireless Networking and Communications, 2013

Sand, dust, gaseous and other atmospheric properties have a distorting effect on signal fidelityo... more Sand, dust, gaseous and other atmospheric properties have a distorting effect on signal fidelityof Ku and Ka bands. Such distributions result in signal transmission error co mmensuration with different weather attenuations. These attenuations severely affect quality of service (QoS) as well as service level agreement (SLA). The main focus of this paper is to propose a new model for at mospheric impairments affecting satellite co mmunicat ion networks that operate at high frequencies. These operations are heavily dependent on the propagation characteristics in desert areas, due to the often occurring of dust and sand storms as well as gaseous attenuations. Furthermore, gaseous attenuation (GA) can be estimated by using predicted signal-weather correlated database in collaboration with ITU-R propagation models comb inedwith interpolation methods, gateway, and ground terminal characteristics. A three dimensional relationship is then proposed for these attenuations with visibility, dust particular size, frequency, and propagation angle to provide decision and control system (DA CS) with an enhanced view of satellite performance. This system is controlled by a skilful at mospheric aware model (SAAM) that can enable mitigation planning by adaptively selecting satellite parameters to improve network performance and monitor receiv ing signal to maintain the predefined threshold level under different weather conditions. Simu lation results are presented to show the effectiveness of the proposed scheme.

Research paper thumbnail of Dust & sand (DUSA) storms impact on LEO satellite microwave radio links

2014 7th Advanced Satellite Multimedia Systems Conference and the 13th Signal Processing For Space Communications Workshop, Sep 10, 2014

Satellite telecommunications today present one of the most remarkable opportunities as they enabl... more Satellite telecommunications today present one of the most remarkable opportunities as they enable us to communicate and virtually reach any corner of the world. Great discoveries and developments in this field have enabled us to improve our quality of life. But even as we benefit from this progress, many challenges are encountered as satellite service providers uphold certain quality of service (QoS) levels. Meteorological impairments will always confront the satellite telecommunication links. Arid and semi-arid regions are particularly prone to dust and sand (DUSA) storms posing a looming threat to microwave radio systems reliability. A novel approach to model the dust storms in a three dimensional space has been presented and elaborated here leading to a more efficient attenuation computation and ultimately resulting in perfection of link budget design. A real downlink improvement for a LEO satellite will be re-designed by considering the dust attenuation parameter. An interesting finding is then confirmed that after including the dust attenuation parameter the link margin is found to be in healthy acceptable range and cost effective too. In order to have an efficient communication system and better quality of service (QoS), designers need to consider all the parameters that can impact communication link.

Research paper thumbnail of K. Harb, B. Omair, S. Abdul-Jauwad, A. Al-Yami, and Ab. Al-Yami, "A Proposed Method for Dust and Sand Storms Effect on Satellite Communication Networks", Innovations on Communication Theory (INCT), Istanbul, Turkey, Oct. 2012

Research paper thumbnail of The Design of Sparse and Non-sparse FIR Filters using Linear Complementarity Problem Approach

In this article, the problem of linear phase finite impulse response (FIR) filter design is reconsi... more In this article, the problem of linear phase finite
impulse response (FIR) filter design is reconsidered as a
linear complementarity problem (LCP) with a weighting
strategy. The LCP is not an optimization technique because
there is no objective function to optimize; however, quadratic
programming, one of the applications of LCP, can be used
to find an optimal solution for the 1D FIR filter. Quadratic
programs are an extremely important source of applications
of LCP; in fact, several algorithms for quadratic programs
are based on LCP. It has been shown that, by selecting
proper weights, the LCP approach is capable of producing
equiripple response. Since length of the impulse response of
discrete time filters is often an indicator of computational
cost, an algorithm is proposed that iteratively thins the
impulse response of a non-sparse filter. The resulting LCP
has been solved by a computationally effective Lemke’s
algorithm. Different examples are presented to illustrate the
efficiency of the proposed methods.